A Multiple Cyclic-Route Generation Method with Route Length Constraint Considering Point-of-Interests
Author:
Affiliation:
1. Dept. of Computer Science and Communications Engineering, Waseda University
2. Zenrin DataCom Co., LTD.
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Subject
Applied Mathematics,Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Signal Processing
Link
https://www.jstage.jst.go.jp/article/transfun/E102.A/4/E102.A_641/_pdf
Reference22 articles.
1. [1] M. Sharifzadeh, M. Kolahdouzan, and C. Shahabi, “The optimal sequenced route query,” The International J. Very Large Data Bases, vol.17, no.4, pp.765-787, 2008. 10.1007/s00778-006-0038-6
2. [2] S.V. Dugani, S. Dixit, and M. Belur, “Automated adaptive sequential recommendation of travel route,” Proc. 2017 International Conference on Computing Methodologies and Communication (ICCMC), pp.284-288, 2017. 10.1109/iccmc.2017.8282692
3. [3] D. Ajantha, J. Vijay, and R. Sridhar, “A user-location vector based approach for personalised tourism and travel recommendation,” Proc. 2017 International Conference on Big Data Analytics and Computational Intelligence (ICBDAC), pp.440-446, 2017. 10.1109/icbdaci.2017.8070880
4. [4] J. Zeng, Y. Li, F. Li, J. Wen, and S. Hirokawa, “A point-of-interest recommendation method using location similarity,” Proc. 2017 6th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI), pp.436-440, 2017. 10.1109/iiai-aai.2017.122
5. [5] H.-Y. Gau, Y.-S. Lu, and J.-L. Huang, “A grid-based successive point-of-interest recommendation method,” Proc. 2017 10th International Conference on Ubi-media Computing and Workshops (Ubi-Media), pp.1-6, 2017. 10.1109/umedia.2017.8074153
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